H
uman intellect has always been based on a persistent desire to innovate to outdo what has previously been found or accomplished. Every era has been characterized by significant developments that have advanced civilization. Given the advancements in technology, particularly in the 21st century, it would be accurate to refer to the current age as the "Age of Artificial Intelligence and Data Sciences."
No industry has been immune to the impact of artificial intelligence (AI) and machine learning (ML), which have transformed numerous businesses and facets of our lives in recent years. This includes the educational sector. The use of AI and ML in education can revolutionize education in many ways, just like the development of computers and the internet changed how people access and exchange information.
Crossing regional boundaries with knowledge acquisition
The education sector has only lately had to catch up in digitalization and the use of data and artificial intelligence to speed up learning. However, in the post-COVID era, online and blended learning became necessary and popular in educational institutions because they allowed us to get a top-notch education from teachers without being restricted by geography or in-person presence.
As a method of individualized learning
A competency-based or individualized approach to education is necessary in the modern world. Since each student has unique interests and skill sets, mentors should adjust their instruction to fit each student's learning style and speed. However, due to the lack of qualified faculty and instructors and the necessary man-hours, it is also easier said than done.
Personalization is the most valuable contribution that AI and ML can make. Various artificial intelligence, machine learning, and data analytics technologies and algorithms can analyse students' learning patterns and tailor the curriculum or teaching methods to their requirements, skills, prior learning, and objectives. With this focused approach, instructional material may become more inventive and efficient.
Educators can adjust them in-class pedagogy as necessary through a dashboard, using the overall learning progress and more comprehensive conclusions.
Additionally, the predictive model of data analytics and machine learning can spot trends in student attention or engagement, including a rapid decline in grades, irregular attendance, infrequent assignment submissions, or decreased participation in online conversations. Based on solid data-driven proof, it may offer real-time feedback to comprehend every learner's distinct learning results and profiles fully.
Assisting in the automation of administrative tasks
In addition to giving students a chance to take charge of their education and support a customized path toward their professional development, AI and ML-based models can also help faculty members and educators by reducing the amount of time they must spend on laborious tasks like grading assignments, analysing reports and metrics, tracking attendance, creating schedules, and so forth. This allows them to concentrate on developing innovative teaching pedagogy, new teaching techniques, in-person learning resources, and individual student support.
In addition, educational institutions can use AI-powered chatbots that are on call around the clock to offer prompt responses to commonly requested queries about admissions, course information, campus amenities, etc. These virtual assistants can also be proactive by reminding users about impending events, fee submissions, or assignment due dates. This can result in increased effectiveness and cost savings for educational institutions, allowing them to distribute resources more wisely.
Growing immersive virtual labs and interactive e-learning
Although the value of one-on-one and on-campus instruction cannot be replaced, students who cannot afford or seek in-person education, degrees, or intensive field trips can benefit significantly from the opportunities offered by AI, AR, and VR technology.
For instance, picture geography and environmental studies students in a rural school using AR and VR to view Amazon trees or glaciers and begin to consider solutions for some of the most urgent climate change issues. In the same way, students can learn more about historical civilizations by immersing themselves in and exploring their sites in a history class, all while remaining secure and comfortable. Utilizing these tools can significantly improve comprehension and retention.
The Ministry of Education (MoE), Government of India, through a consortium of twelve collaborating institutions, launched the "Virtual Labs" project under the auspices of the National Mission on Education through Information and Communication Technology (NMEICT). This project is also a good example. More than 100 Virtual Labs with roughly 700 web-enabled experiments have been created for remote operation and simulation-based viewing by students, teachers, and researchers at schools and Science and Engineering Colleges who need access to adequate lab facilities and instruments or who wish to collaborate. This is an admirable example of ICT-based education. Stimulating curiosity and allowing them to learn at their own pace can inspire pupils to explore STEM fields.
In management education, students can apply theoretical knowledge to real-world situations through interactive learning tools, virtual business simulations, cross-continental and transdisciplinary collaborative projects, business intelligence analytical software, and data analytics.
Challenges
Even though AI and ML have enormous educational potential and are the way of the future, we must address worries about data security, privacy, and ethical issues. Strong standards must be established to protect student data, maintain teacher-student relationships, and guarantee AI algorithms' fairness and openness. While technology-enabled operations address the lack of qualified professors and teachers, we also require efficient teacher preparation to prepare educators to employ AI-powered solutions to close the gaps and deliver high-quality instruction.
Additionally, for students and institutions with low financial means to fully utilize the promise of these technologies, we must guarantee fair access to AI-powered educational tools, required gear, and internet connectivity. We also need to close the digital accessibility gap.
New-age education that is inherently linked
Despite obstacles, incorporating AI, ML, Data Analytics, and AR/VR technology into the classroom can offer enormous potential and profoundly alter how teachers and students learn. They may create a comprehensive setting where cutting-edge technology and conventional teaching methods coexist to develop today's flexible, agile minds and enable them to realize their full potential in the rapidly changing and developing global environment.
For promising students seeking admission in a foreign university from Bangladesh, several opportunities are available. There are many eminent higher education institutes like Sharda University in India that will give them a chance to complete their advanced studies at affordable costs. Students interested in securing admission can access all the necessary scholarship-related information on the college website.
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